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google-earth-engine-notes

google-earth-engine-python

This includes GEE python codes for processing and implementing remote sensing data.

google-earth-engine-training

googleearthegine

Scripts to Google Earth Engine

gp_emulator

Gaussian Process emulators in Python

gridded-cligen-processing

Google Earth Engine climate processing for CLIGEN

gridwxcomp

Comparison of weather station and gridded climate datasets

hands-on-data-analysis

hujan

Analisis spasial hujan di DAS Ciliwung

hwdna_2022

Python codes for hot extremes detection and attribution from the perspective of thermodynamic and dynamic mechanisms

hybrid_precipitation_index

Example code that calculates the Hybrid Precipitation Index described in Chelton and Risien, 2020.

hydrodrought

Companion repository for textbook

hydrogis

practices for gis in hydrology

i

idsi-integrated-drought-serverity-index-

This is repository for Integrated Drought Severity Index (IDSI) model . IDSI is empirical model given by IWMI.

intro-prog-for-gis-rs

Materials for the Intro to Programming for GIS and Remote Sensing Course that I teach at Saint Louis University

intro2geostats

Introduction to Geostatistical analysis in R

isrc-py4eo-course

This is an advanced course of Python applications in remote sensing.

japan_gis_workshop_202006_lw

A tutorial for working with geospatial data, including vector and raster data

krigr

An R Package for downloading, preprocessing, and statistical downscaling of the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family provided by the European Centre for Medium‐Range Weather Forecasts (ECMWF).

landtrendr-ccdc

Tool to compare the outputs of the LandTrendr and CCDC algorithms for a single Landsat pixel

leaf-toolbox

learning-geospatial-analysis-with-python-third-edition

Learning Geospatial Analysis with Python – Third Edition, published by Packt

lihua_lab

【李华的研究室】系列相关代码

machine-learning-classification

Klassifikasi machine learning untuk Land Use menggunakan data Landsat

machisplin

An R package for interpolation of noisy multi-variate data through comprehensive statistical analyses using thin-plate-smoothing splines and machine learning ensembling.

master_thesis_drought_indices_in_the_amazon

Master thesis

mataplle

matplotlib-tutorial

Matplotlib tutorial for beginner

maximumseparation_method